BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20200616T171611Z
UID:823834EA-2806-4EA7-8910-1942CDE47F91
DTSTART;TZID=Asia/Kolkata:20200611T105500
DTEND;TZID=Asia/Kolkata:20200611T140000
DESCRIPTION:A one and a half hour long virtual workshop starting from 11:00
 AM hosted by Babu Banarasi Das National Institute Of Technology and Manage
 ment IEEE STB will take place on 11th June\, 2020 through the platform of 
 Google Meet.The workshop will be streamed live on YouTube as well.\n\nIn t
 he present time\, the condition monitoring of electromechanical systems ha
 ve become a challenging task not only for engineers mainly in industries b
 ut also for many researchers. The nonstop and trouble-free operation of el
 ectromechanical machines are a critical part of modern production plants. 
 The faults and failure in the machine may cause remarkable economical loss
 es as well as dangerous state situations. Therefore\, in this webinar we w
 ill understand about electromechanical systems and their diagnostics techn
 iques. It will motivate participants to think towards this directions and 
 protect electromechanical systems in an efficient way with the help of adv
 anced signal processing techniques. The advanced signal processing techniq
 ue extract frequency information and time-frequency information from the t
 ime domain signal.\n\nCo-sponsored by: Prof. Rafik Ahmad \n\nSpeaker(s): M
 ohamed Benbouzid\, \n\nAgenda: \nIt will motivate participants to think to
 wards this directions and protect electromechanical systems in an efficien
 t way with the help of advanced signal processing techniques. The advanced
  signal processing technique extract frequency information and time-freque
 ncy information from the time domain signal.\n\nLUCKNOW \, Uttar Pradesh\,
  India\, 226028
LOCATION:LUCKNOW \, Uttar Pradesh\, India\, 226028
ORGANIZER:hodee@bbdnitm.ac.in
SEQUENCE:5
SUMMARY:Webinar on &quot;Advance Signal Processing Techniques for Electromechnic
 al System Fault Detection and Diagnosis and Fault Tolerant Control Approac
 hes&quot;
URL;VALUE=URI:https://events.vtools.ieee.org/m/232551
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;A one and
  a half hour long virtual workshop starting from 11:00AM hosted by Babu Ba
 narasi Das National Institute Of Technology and Management IEEE STB will t
 ake place on 11th June\, 2020 through the platform of Google Meet.The work
 shop will be streamed live on YouTube as well.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=
 &quot;font-weight: 400\;&quot;&gt;In the present time\, the condition monitoring of ele
 ctromechanical systems have become a challenging task not only for enginee
 rs mainly in industries but also for many researchers. The nonstop and tro
 uble-free operation of electromechanical machines are a critical part of m
 odern production plants. The faults and failure in the machine may cause r
 emarkable economical losses as well as dangerous state situations. Therefo
 re\, in this webinar we will understand about electromechanical systems an
 d their diagnostics techniques. It will motivate participants to think tow
 ards this directions and protect electromechanical systems in an efficient
  way with the help of advanced signal processing techniques. The advanced 
 signal processing technique extract frequency information and time-frequen
 cy information from the time domain signal.&lt;/span&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: 
 &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt; It will motivate participants t
 o think towards this directions and protect electromechanical systems in a
 n efficient way with the help of advanced signal processing techniques. Th
 e advanced signal processing technique extract frequency information and t
 ime-frequency information from the time domain signal.&lt;/span&gt;&lt;/p&gt;
END:VEVENT
END:VCALENDAR

